Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (60)
- Clean Energy (89)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (69)
- Materials for Computing (12)
- Mathematics (1)
- National Security (20)
- Neutron Science (14)
- Nuclear Science and Technology (9)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (37)
News Topics
- (-) Bioenergy (92)
- (-) Grid (66)
- (-) Isotopes (56)
- (-) Machine Learning (49)
- (-) Mathematics (9)
- (-) Microscopy (51)
- (-) Polymers (33)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Artificial Intelligence (98)
- Big Data (60)
- Biology (100)
- Biomedical (60)
- Biotechnology (23)
- Buildings (62)
- Chemical Sciences (71)
- Clean Water (31)
- Climate Change (104)
- Composites (29)
- Computer Science (195)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (82)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (198)
- Exascale Computing (41)
- Fossil Energy (6)
- Frontier (45)
- Fusion (57)
- High-Performance Computing (91)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Materials (146)
- Materials Science (145)
- Mercury (12)
- Microelectronics (4)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (71)
- Net Zero (14)
- Neutron Science (134)
- Nuclear Energy (111)
- Partnerships (49)
- Physics (64)
- Quantum Computing (37)
- Quantum Science (71)
- Renewable Energy (2)
- Security (25)
- Simulation (50)
- Software (1)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
Jeremiah Sewell leads a team at ORNL, working on xenon-129 production for lung imaging. Reflecting on his career, Sewell views each opportunity as a "door" he steps through, leveraging over 25 years of experience in nuclear power and centrifuge operations to advance the facility’s mission.
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.